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Achim Ahrens
Achim Ahrens
Public Policy Group, ETH Zürich
Dirección de correo verificada de gess.ethz.ch - Página principal
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lassopack: Model selection and prediction with regularized regression in Stata
A Ahrens, CB Hansen, ME Schaffer
The Stata Journal 20 (1), 176-235, 2020
2082020
PDSLASSO: Stata module for post-selection and post-regularization OLS or IV estimation and inference
A Ahrens, C Hansen, M Schaffer
Boston College Department of Economics, 2019
1022019
Two-step lasso estimation of the spatial weights matrix
A Ahrens, A Bhattacharjee
Econometrics 3 (1), 128-155, 2015
722015
LASSOPACK: Stata module for lasso, square-root lasso, elastic net, ridge, adaptive lasso estimation and cross-validation
A Ahrens, C Hansen, M Schaffer
Boston College Department of Economics, 2020
662020
Changes in land cover and urban sprawl in Ireland from a comparative perspective over 1990–2012
A Ahrens, S Lyons
Land 8 (1), 16, 2019
522019
Do rising rents lead to longer commutes? A gravity model of commuting flows in Ireland
A Ahrens, S Lyons
Urban Studies 58 (2), 264-279, 2021
282021
Trends in rental price inflation and the introduction of rent pressure zones in Ireland
A Ahrens, M Martinez-Cillero, C O'Toole
Economic and Social Research Institute, 2019
152019
Price regulation, inflation, and nominal rigidity in housing rents
C O’Toole, M Martinez-Cillero, A Ahrens
Journal of Housing Economics 52, 101769, 2021
112021
Conditionality or specificity? Bulgaria and Romania's economic transition performance in comparative perspective
A Ahrens, J Zweynert
Post-Communist Economies 24 (2), 291-307, 2012
112012
Civil conflicts, economic shocks and night-time lights
A Ahrens
Peace Economics, Peace Science and Public Policy 21 (4), 433-444, 2015
92015
The Labor Market Effects of Restricting Refugees' Employment Opportunities
A Ahrens, A Beerli, D Hangartner, S Kurer, M Siegenthaler
IZA Discussion Paper, 2023
82023
ddml: Double/debiased machine learning in Stata
A Ahrens, CB Hansen, ME Schaffer, T Wiemann
The Stata Journal 24 (1), 3-45, 2024
72024
pystacked: Stacking generalization and machine learning in Stata
A Ahrens, CB Hansen, ME Schaffer
arXiv preprint arXiv:2208.10896, 2022
72022
A Theory-based Lasso for time-series data
A Ahrens, C Aitken, J Ditzen, E Ersoy, D Kohns, ME Schaffer
Data Science for Financial Econometrics, 3-36, 2021
62021
A review of the methodologies used in compiling owner-occupiers' housing indices
A Ahrens, K Beirne, P Economides, I Kostarakos, K McQuinn, C O'Toole
ESRI Working Paper, 2020
62020
Prediction, model selection, and causal inference with regularized regression
A Ahrens, ME Schaffer, CB Hansen
Technical report. London Stata Conference 2018 at the Cass Business School, 2018
62018
Using machine learning methods to support causal inference in econometrics
A Ahrens, C Aitken, ME Schaffer
Behavioral predictive modeling in economics, 23-52, 2021
52021
lassologit: Stata module for logistic lasso regression
A Ahrens, CB Hansen, M Schaffer
Statistical Software Components, Boston College Department of Economics, 2019
52019
LASSOPACK and PDSLASSO: Prediction, model selection and causal inference with regularized regression
A Ahrens, CB Hansen, ME Schaffer
London Stata Conference 2018, 2018
52018
An introduction to stacking regression for economists
A Ahrens, E Ersoy, V Iakovlev, H Li, ME Schaffer
International Conference of the Thailand Econometrics Society, 7-29, 2022
32022
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